Platform-as-a-service billing

ABSTRACT

An illustrative embodiment of a process for reconciling billing measures to cost factors, comprising receiving, by one or more processors, a set of billing measures from one or more applications and a set of cost factors from infrastructure feeds. Analyzing the set of billing measures and cost factors received, using a set of defined relationships to create analyzed information and generates, by the one or more processors, a set of reports using the analyzed information. Responsive to a determination to update the set of definitions, update the sets of definitions using information from the generated reports.

BACKGROUND

1. Technical Field

This disclosure relates generally to billing for services in a dataprocessing system and more specifically to platform-as-a-service billingto cost process for a multi-tenant software-as-a-service environment inthe data processing system.

2. Description of the Related Art

As software-as-a-service (SaaS) usage expands in the computing industry,the importance of balancing revenue with expense becomes an increasinglydifficult challenge. Usage of subscription-based services (pay as yougo) typically implies a different model from a traditionalsoftware-licensing model. As a service provider incurs infrastructurecosts, the service provider must ensure proper fees are in place forcost-recovery plus a profit margin to validate the business of theservice provider.

Traditional software and hardware purchases were formerlywell-understood and distinguishable as capital expenditures (computer,network, other tangible components) and client applicationimplementation. However evolving cloud infrastructures are typicallycreating a gap between end-client application understanding withrequired technical adeptness for the implementation and operation of theinfrastructures. Additionally, a cloud paradigm offers economy of scaleby introducing multi-tenancy, in which multiple clients utilize the sameinfrastructure.

An accepted layering of infrastructure in a cloud system, as in layers 1through 4, viewed from the bottom-up is presented in FIG. 1. Layer 1comprises component supply 102 containing hardware, and softwareincluding host system and networking components. Layer 2 comprisesInfrastructure-as-a-Service (IaaS) 104 representing a set of componentscomprising operating system components, virtualization components andadditional components representative of the physical elements of thecloud. Layer 3 comprising Platform-as-a-Service (PaaS) 106 represents aset of components comprising middleware components including databaseservers, application servers, and application executable code. Layer 4comprises Software-as-a-Service (SaaS) 108 representing a set ofcomponents comprising user applications, which are up and running, readyfor use by the users of the respective tenants.

Traditional business accounting practices are typically correlated withlayer 1 and layer 2 as capital expenditures, while layer 3 and layer 4items are typically correlated with software licensing including perhapsadditional maintenance components plus staff resources to implement andmaintain.

The cloud paradigm mixes the accounting practices across multipleproviders while also providing a potential economy of scale acrossmultiple tenants within the same platform and infrastructure using thesame components. The challenge, then, is to maintain within a billingmodel the simplicity of the SaaS product view which isolates end usersfrom investing, installing and maintaining an information technologyinfrastructure, while also recognizing and reconciling ever increasingcomplexity, variety and multi-tenancy of the platform, infrastructureand component layers as outlined in cloud system 100 of FIG. 1.

Existing SaaS billing models are typically categorized as detailed usagetracking, pre-determined performance, time-period subscription and acombination of categories detailed usage tracking in which manyutility-based approaches track resource consumption including processor(CPU) utilization, recording transaction counts, and disk usage;however, the tracking adds overhead to the provider while also addingcomplexity and unpredictability to the billing mechanism. Pre-determinedperformance is a category in which an end-user requests a certainplatform performance equivalency, for example, reserving a number ofCPUs, or a quantity of disk space, thus identifying a specific resourceallocation (and resulting performance). A time-period subscriptioncategory defines a basic cost/time approach, which may be applicable tosimple SaaS applications, but becomes increasingly difficult to supportas an industry grows to include more complex and dynamic serviceofferings. The time-period subscription model typically results incomplex application compartmentalization and billing. A combination oftwo (or more) categories as previously defined enables variouscombinations to address billing requirements.

As a result, current billing models may re-introduce informationtechnology complexity of the infrastructure layer back to the client, orby way of over-simplification with service-provider reconciliationrisks.

SUMMARY

According to one embodiment, a process for reconciling billing measuresto cost factors, comprises receiving, by one or more processors, a setof billing measures from one or more applications and a set of costfactors from infrastructure feeds. Analyzing the set of billing measuresand cost factors received, using a set of defined relationships tocreate analyzed information. The one or more processors generate a setof reports using the analyzed information. Responsive to a determinationto update the set of definitions, the one or more processors update thesets of definitions using information from the generated reports.

According to another embodiment, a computer program product forreconciling billing measures to cost factors, comprises one or morecomputer-readable data storage devices and program instructions storedon at least one of the one or more computer-readable data storagedevices. The program instructions comprise computer executable programcode for receiving, by one or more processors, a set of billing measuresfrom one or more applications; computer executable program code forreceiving, by the one or more processors, a set of cost factors frominfrastructure feeds; computer executable program code for analyzing theset of billing measures and cost factors received, by the one or moreprocessors, using a set of defined relationships to create analyzedinformation; computer executable program code for generating, by the oneor more processors, a set of reports using the analyzed information;computer executable program code for determining, by the one or moreprocessors, whether to update the set of definitions and computerexecutable program code for the one or more processors responsive to adetermination to update the set of definitions, updating the sets ofdefinitions using information from the generated reports.

According to another embodiment, an apparatus for reconciling billingmeasures to cost factors, comprises a communications fabric, one or morecomputer-readable data storage devices connected to the communicationsfabric, a memory connected to the communications fabric, wherein thememory contains computer executable program code, a communications unitconnected to the communications fabric, an input/output unit connectedto the communications fabric and one or more processors connected to thecommunications fabric. The one or more processors executes the computerexecutable program code to direct the apparatus to receive, by the oneor more processors, a set of billing measures from one or moreapplications, and receive, by the one or more processors, a set of costfactors from infrastructure feeds. The one or more processors executesthe computer executable program code to direct the apparatus to analyzethe set of billing measures and cost factors received, by the one ormore processors, using a set of defined relationships to create analyzedinformation and to generate, by the one or more processors, a set ofreports using the analyzed information. The one or more processorsexecutes the computer executable program code to direct the apparatus todetermine whether to update the set of definitions and the one or moreprocessors responsive to a determination to update the set ofdefinitions, update the sets of definitions using information from thegenerated reports.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

For a more complete understanding of this disclosure, reference is nowmade to the following brief description, taken in conjunction with theaccompanying drawings and detailed description, wherein like referencenumerals represent like parts.

FIG. 1 is a block diagram of a cloud data processing system with a multitenant billing to cost mechanism in accordance with one embodiment ofthe disclosure;

FIG. 2 is a block diagram of an exemplary network data processing systemportion view of the cloud data processing system of FIG. 1 in accordancewith one embodiment of the disclosure;

FIG. 3 is a block diagram of an exemplary data processing system of thecloud data processing system of FIG. 1 in accordance with one embodimentof the disclosure;

FIG. 4 is a block diagram representation of components of a multi-tenantbilling to cost process operable for various embodiments of thedisclosure;

FIG. 5 is a block diagram of a process flow using the multi-tenantbilling to cost process of FIG. 4 in accordance with one embodiment ofthe disclosure;

FIG. 6 is a textual representation of a subset of client/tenant measuresto cost factors of the multi-tenant billing to cost process of FIG. 4 inaccordance with one embodiment of the disclosure;

FIG. 7 is a chart representation of a subset of client/tenant measure tocost factors observations of the multi-tenant billing to cost process ofFIG. 4 in accordance with one embodiment of the disclosure; and

FIG. 8 is a high level flowchart of the multi-tenant billing to costprocess of FIG. 4 in accordance with one embodiment of the disclosure;and

FIG. 9 is a flowchart of the multi-tenant billing to cost process ofFIG. 8 in accordance with one embodiment of the disclosure.

DETAILED DESCRIPTION

Although an illustrative implementation of one or more embodiments isprovided below, the disclosed systems and/or methods may be implementedusing any number of techniques. This disclosure should in no way belimited to the illustrative implementations, drawings, and techniquesillustrated below, including the exemplary designs and implementationsillustrated and described herein, but may be modified within the scopeof the appended claims along with their full scope of equivalents.

As will be appreciated by one skilled in the art, aspects of the presentdisclosure may be embodied as a system, method or computer programproduct. Accordingly, aspects of the present disclosure may take theform of an entirely hardware embodiment, an entirely software embodiment(including firmware, resident software, micro-code, etc.) or anembodiment combining software and hardware aspects that may allgenerally be referred to herein as a “circuit,” “module,” or “system.”Furthermore, aspects of the present invention may take the form of acomputer program product embodied in one or more computer readablemedium(s) having computer readable program code embodied thereon.

Any combination of one or more computer-readable data storage devicesmay be utilized. A computer-readable data storage device may be, forexample, but not limited to, an electronic, magnetic, optical, orsemiconductor system, apparatus, or device, or any suitable combinationof the foregoing. More specific examples (a non-exhaustive list) of thecomputer-readable data storage device would include the following: aportable computer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a portable compact disc read-only memory (CDROM), anoptical storage device, or a magnetic storage device or any suitablecombination of the foregoing, but does not encompass propagation media.In the context of this document, a computer-readable data storage devicemay be any tangible device that can store a program for use by or inconnection with an instruction execution system, apparatus, or device. Acomputer readable storage device, as an example of a computer-readabledata storage device, does not encompass propagation media.

Computer program code for carrying out operations for aspects of thepresent disclosure may be written in any combination of one or moreprogramming languages, including an object oriented programming languagesuch as Java®, Smalltalk, C++, or the like and conventional proceduralprogramming languages, such as the “C” programming language or similarprogramming languages. Java and all Java-based trademarks and logos aretrademarks of Oracle, and/or its affiliates, in the United States, othercountries or both. The program code may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).

Aspects of the present disclosure are described below with reference toflowchart illustrations and/or block diagrams of methods, apparatus,(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer program instructions.

These computer program instructions may be provided to a processor of ageneral purpose computer, special purpose computer, or otherprogrammable data processing apparatus to produce a machine, such thatthe instructions, which execute via the processor of the computer orother programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks.

These computer program instructions may also be stored in a computerreadable data storage device that can direct a computer or otherprogrammable data processing apparatus to function in a particularmanner, such that the instructions stored in the computer readable datastorage device produce an article of manufacture including instructionswhich implement the function/act specified in the flowchart and/or blockdiagram block or blocks.

The computer program instructions may also be loaded onto a computer orother programmable data processing apparatus to cause a series ofoperational steps to be performed on the computer or other programmableapparatus to produce a computer-implemented process such that theinstructions which execute on the computer or other programmableapparatus provide processes for implementing the functions/actsspecified in the flowchart and/or block diagram block or blocks.

With reference now to FIG. 2 and FIG. 3, exemplary diagrams of dataprocessing environments are provided in which illustrative embodimentsmay be implemented. It should be appreciated that FIG. 2 and FIG. 3 areonly exemplary and are not intended to assert or imply any limitationwith regard to the environments in which different embodiments may beimplemented. Many modifications to the depicted environments may bemade.

With reference to FIG. 2 a block diagram of an exemplary network dataprocessing system portion view of the cloud data processing system ofFIG. 1 operable for various embodiments of the disclosure is presented.FIG. 2 depicts a pictorial representation of a network of dataprocessing systems in which illustrative embodiments of the cloud dataprocessing system may be implemented. Network data processing system 200is a network of computers in which the illustrative embodiments may beimplemented. Network data processing system 200 contains network 202,which is the medium used to provide communications links between variousdevices and computers connected together within network data processingsystem 200. Network 202 may include connections, such as wire, wirelesscommunication links, or fiber optic cables.

In the depicted example, server 204 and server 206 connect to network202 along with storage unit 208 and application 216. In addition,clients 210, 212, and 214 connect to network 202. Clients 210, 212, and214 may be, for example, personal computers or network computers. In thedepicted example, server 204 provides data, such as boot files,operating system images, and applications to clients 210, 212, and 214.Clients 210, 212, and 214 are clients to server 204 and to server 206 inthis example. Server 206 further provides PaaS multi-tenant billing tocost mechanism 218 (an implementation of PaaS multi-tenant billing tocost mechanism 110 of FIG. 1) to clients 210, 212, and 214. PaaSmulti-tenant billing to cost mechanism 218 provides capabilities toservice providers as well as clients of multiple tenants through localand remote capabilities of network 202. Network data processing system200 may include additional servers, clients, and other devices notshown.

Platform-as-a-Service multi-tenant billing to cost mechanism 218 isimplemented at a layer 2 level as shown in Platform-as-a-Service 106 ofFIG. 1, in an embodiment of the disclosure, providing a capability ofidentifying a simple, universal, well-understood set of basic billingmeasures in relationship to any application software. In turn, thebilling measures map to appropriate service provider cost elements forevaluation of a measure/price ratio. Platform-as-a-Service multi-tenantbilling to cost mechanism 218 in an embodiment of the disclosuresupports billing measures and cost elements in an evolving multi-tenant,multi-application matrix and growing infrastructure. Further, as thecost elements may be difficult, costly or impossible to accuratelymeasure, Platform-as-a-Service multi-tenant billing to cost mechanism218 provides a capability for regular review of net cost/measurebalance.

In the depicted example, network data processing system 200 is theInternet with network 202 representing a worldwide collection ofnetworks and gateways that use the Transmission ControlProtocol/Internet Protocol (TCP/IP) suite of protocols to communicatewith one another. At the heart of the Internet is a backbone ofhigh-speed data communication lines between major nodes or hostcomputers, consisting of thousands of commercial, governmental,educational and other computer systems that route data and messages. Ofcourse, network data processing system 200 also may be implemented as anumber of different types of networks, such as for example, an intranet,a local area network (LAN), or a wide area network (WAN). FIG. 2 isintended as an example, and not as an architectural limitation for thedifferent illustrative embodiments.

With reference to FIG. 3 a block diagram of an exemplary data processingsystem of the cloud data processing system of FIG. 1 operable forvarious embodiments of the disclosure is presented. In this illustrativeexample, data processing system 300 includes communications fabric 302,which provides communications between processor unit 304, memory 306,persistent storage 308, communications unit 310, input/output (I/O) unit312, and display 314.

Processor unit 304 serves to execute instructions for software that maybe loaded into memory 306. Processor unit 304 may be a set of one ormore processors or may be a multi-processor core, depending on theparticular implementation. Further, processor unit 304 may beimplemented using one or more heterogeneous processor systems in which amain processor is present with secondary processors on a single chip. Asanother illustrative example, processor unit 304 may be a symmetricmulti-processor system containing multiple processors of the same type.

Memory 306 and persistent storage 308 are examples of storage devices316. A storage device, also referred to as a computer readable datastorage device, is any piece of hardware that is capable of storinginformation, such as, for example without limitation, data, program codein functional form, and/or other suitable information either on atemporary basis and/or a permanent basis. Memory 306, in these examples,may be, for example, a random access memory or any other suitablevolatile or non-volatile storage device. Persistent storage 308 may takevarious forms depending on the particular implementation. For example,persistent storage 308 may contain one or more components or devices.For example, persistent storage 308 may be a hard drive, a flash memory,a rewritable optical disk, a rewritable magnetic tape, or somecombination of the above. The media used by persistent storage 308 alsomay be removable. For example, a removable hard drive may be used forpersistent storage 308.

Communications unit 310, in these examples, provides for communicationswith other data processing systems or devices. In these examples,communications unit 310 is a network interface card. Communications unit310 may provide communications through the use of either or bothphysical and wireless communications links.

Input/output unit 312 allows for input and output of data with otherdevices that may be connected to data processing system 300. Forexample, input/output unit 312 may provide a connection for user inputthrough a keyboard, a mouse, and/or some other suitable input device.Further, input/output unit 312 may send output to a printer. Display 314provides a mechanism to display information to a user.

Instructions for the operating system, applications and/or programs maybe located in storage devices 316, which are in communication withprocessor unit 304 through communications fabric 302. In theseillustrative examples the instructions are in a functional form onpersistent storage 308. These instructions may be loaded into memory 306for execution by processor unit 304. The processes of the differentembodiments may be performed by processor unit 304 usingcomputer-implemented instructions, which may be located in a memory,such as memory 306.

These instructions are referred to as program code, computer usableprogram code, or computer readable program code that may be read andexecuted by a processor in processor unit 304. The program code in thedifferent embodiments may be embodied on different physical or tangiblecomputer readable storage media of a computer readable data storagedevice, including memory 306 or persistent storage 308. For example, inone embodiment of the disclosure, program code 318 contains codecomprising an implementation of Platform-as-a-Service multi-tenantbilling to cost mechanism 218 of FIG. 2.

Program code 318 is located in a functional form on computer readablestorage media 320 that is selectively removable and may be loaded ontoor transferred to data processing system 300 for execution by processorunit 304. Program code 318 and computer readable storage media 320 formcomputer program product 322 in these examples. In one example, computerreadable storage media 320 may be in a tangible form, such as, forexample, an optical or magnetic disc that is inserted or placed into adrive or other device that is part of persistent storage 308 fortransfer onto a storage device, such as a hard drive that is part ofpersistent storage 308. In a tangible form, computer readable storagemedia 320 also may take the form of a persistent storage, such as a harddrive, a thumb drive, or a flash memory that is connected to dataprocessing system 300. The tangible form of computer readable storagemedia 320 is also referred to as computer recordable storage media. Insome instances, computer readable storage media 320 may not beremovable. Computer readable storage media 320 does not contain computerreadable signal media as is used for propagation or transmission of acomputer readable signal.

Alternatively, program code 318 may be transferred to data processingsystem 300 from computer readable storage media 320 through acommunications link to communications unit 310 and/or through aconnection to input/output unit 312. The communications link and/or theconnection may be physical or wireless in the illustrative examples. Thecomputer readable media also may take the form of non-tangible media,such as communications links or wireless transmissions containing theprogram code.

In some illustrative embodiments, program code 318 may be downloadedover a network to persistent storage 308 from another device or dataprocessing system for use within data processing system 300. Forinstance, program code stored in a computer readable storage medium in aserver data processing system may be downloaded over a network from theserver to data processing system 300. The data processing systemproviding program code 318 may be a server computer, a client computer,or some other device capable of storing and transmitting program code318.

Using data processing system 300 of FIG. 3 as an example, acomputer-implemented process for reconciling billing measures to costfactors is presented. Processor unit 304 receives, by one or moreprocessors, a set of billing measures from one or more applications andreceives a set of cost factors from infrastructure feeds. The one ormore processors of processor unit 304 analyzes the set of billingmeasures and cost factors received, using a set of defined relationshipsto create analyzed information. The one or more processors of processorunit 304 generate a set of reports using the analyzed information.Responsive to a determination to update the set of definitions, the oneor more processors of processor unit 304 update the sets of definitionsusing information from the generated reports. Processor unit 304 alsosends a set of reports to a client (tenant) as well as a set of reportsto a service provider.

With reference to FIG. 4 a block diagram of components of a multi-tenantbilling to cost process operable for various embodiments of thedisclosure is presented. Process 400 is an example, in a logical view,of a process of Platform-as-a-Service multi-tenant billing to costmechanism 110 of FIG. 1.

Cost accounting is not new to economics. Relating revenue to expenses isa well-known exercise typically performed at higher levels of accountingroll-up. In view of evolving computing paradigms, and a gap inclient-product understanding of underlying complexity and frequentlychanging nature of technology, a structured cloud-based tenantperspective to provider perspective model is proposed at an operationalor platform level as illustrated.

In one embodiment, presenting a simple application-based view to theclient (referred to as a tenant perspective) while accurately measuringcost factors (for a service provider perspective), the embodimentdefines a process used to identify and define client (tenant)application billing measures 406 (across one or more (multiple) tenants402, and/or one or more (multiple) applications). The process of theembodiment further identifies and/or defines technical, measurable costfactors 416 for the previously defined layers including Platform as aService 408, and Infrastructure as a Service 414. Infrastructure as aService 414 further comprises the component supply 102 of FIG. 1including supporting hardware and software elements.

In one example, definitions of identified client (tenant) billingmeasures and definitions of identified technical, measurable costfactors and the identified relationships among client billing measuresand cost factors may be contained in a set of documents using anextensible markup language (XML). The set of files enables a detailedspecification of components with associated attributes and acorrespondence between the client billing measures and cost factors asidentified relationships.

Relationships 410 among client billing measures 406 and cost factors 416are identified. A set of operations comprising Platform as a Servicemulti-tenant billing to cost mechanism 412 of the illustrativeembodiment implemented as a platform service, that is application andinfrastructure independent, provides a capability to define and receivemulti-tenant billing measures 406 from Software as a Service 404(application) feeds.

An embodiment of the disclosed Platform-as-a-Service multi-tenantbilling to cost mechanism 412 further provides a capability to defineand receive cost factor measures 416 from infrastructure feeds andprovide functional analysis and tuning of defined relationships byapplying statistical methodologies such as, but not restricted to,least-squares (linear, non-linear), least-squares n^(th) degreepolynomials, multiple regression least-squares. Usage growth (linear)versus infrastructure investment (stepped) analysis is also included inthe capabilities of the mechanism disclosed.

Platform-as-a-Service multi-tenant billing to cost mechanism 412 in anillustrative embodiment provides, or interfaces with,accounts-receivable application(s) 418 for generation of clientstatements and billing. An embodiment of the disclosure typicallysimplifies billing because of the decoupled cost analysis. Platform as aService 408 implementation enables a single mechanism supportingmultiple applications, which may vary in their billing models and growover time. Platform as a Service 408 implementation further typicallyenables multi-tenant implementation for efficiency of scale, whileproviding a single integration point for accounting and enablingfrequent, ongoing cost analysis and tuning of billing rules. Support isthus provided for multiple billing models while also enablingreconciliation of billing to costs and subsequent tuning ofrelationships previously defined.

With reference to FIG. 5 a block diagram of a process flow of themulti-tenant billing to cost process of FIG. 4 in accordance with oneembodiment of the disclosure is presented. Process flow 500 is anexample of the flow of an example using Platform-as-a-Servicemulti-tenant billing to cost mechanism 412 of FIG. 4.

Process flow 500, an overall information flow of the example, in oneembodiment addresses revenue and cost reconciliation in a growingcomplex cloud paradigm, which introduces a variety of tenants 514,applications 502 and shared infrastructure. Information moves throughthe process using a set of flows comprising flow 520, flow 522, flow524, flow 526, flow 528 and flow 530. The set of flows provide aniterative cycle in which information may be developed, consumed andreused to refine assumptions and results.

Process flow 500 contains inputs representing one or more applicationscomprising one or more respective billing measures 516 (from theclient/tenant perspective 532). Information representative of billingmeasures 516 arrives at Platform-as-a-Service multi-tenant billing tocost analysis 508 through flow 520. Information representative of costfactors 504 (from the service provider perspective 534) also flows intoPlatform-as-a-Service multi-tenant billing to cost analysis 508 howeverusing flow 524. Cost factors 504 are representative of and derived frominfrastructure components 518 including hardware components and softwarecomponents.

Platform-as-a-Service multi-tenant billing to cost analysis 508 processthe information representative of billing measures 516 and cost factors504 in the context of relationships 506 (defining the influence ofbilling measures 516 to cost factors 504) provided through flow 522.Analysis in the form of Platform as a service billing to cost analysis508 provides statistical analysis for continued observation and reviewof inputs including billing measures 516 and cost factors 504 and tuningof relationships 506 using flow 526 and flow 530. A result of theanalysis may be in the form of report 510 output through flow 526.Further process flow 500 provides accounts receivable 512 integrationfor client statements and billing delivered using flow 528.

Relationships 506 define a correspondence between various applicationbased billing measures and respective infrastructure cost factors. Thedefined correspondence, from the tenant perspective 532 may be a one toone relationship, many to one relationship or a one to many relationshipas needed by a particular configuration in an embodiment of the process.

With reference to FIG. 6 a textual representation of a subset ofclient/tenant measures to cost factors of the multi-tenant billing tocost process of FIG. 4 in accordance with one embodiment of thedisclosure is presented. Structure relationships 600 is an example of aportion of relationship definitions used in an embodiment ofPlatform-as-a-Service multi-tenant billing to cost mechanism 412 of FIG.4.

Inputs in the form of billing measures are defined that may be appliedacross applications as well as across tenants. Billing measures aredefined as simply as possible from a client-view. The client/tenantperspective may be stated as an employee has the responsibility toperform task X and uses application Y to accomplish a job on a dailybasis. Hierarchically, considerations of the example can be representedin billing measure 610 as Staff

Job/Role

Application, wherein application is further characterized by attributesof components of tenant perspective 612, for example, business criticalhaving a yes/no value; usage having a definable measure such as seldom,moderate, frequent, full time or power user and rough sizing based on afew key application elements, for example, assets=100 s

10,000 s

100,000 s

1,000,000 s. The applications may be monitored, queried or transfer thisdata to Platform-as-a-Service multi-tenant billing to cost mechanism 412of FIG. 4.

Cost factors are defined from the service provider view 614 identifyingmeasurable elements. The service provider perspective is reflective of,for example, a statement of for the clients, is purchased and managed aninfrastructure including software, systems, networks, and additionalrespective components. Hierarchically the definitions may be structuredas platform 602→applications; webservers; databases; integrations; andsupport resources (staff or fees), with Infrastructure 604→virtualmachine ware (vmware); processing; network; and system management(including support resources including staff or fees), further relatedto elements of Component Supply 606→operating system including physicaldevices 608, for example, application servers, processors; databaseservers, processors; network security components.

Cost factors may grow in detail as determined by the service providercost accounting and be monitored, queried or transferred to the Platformas a Service billing to cost mechanism. There may be otherconsiderations for client, application or service provider, but theexample is intended for illustration purposes, not limiting theinvention. As will be seen, the mechanism of the disclosure proposes ageneralized process supporting a multitude of specific implementationconsiderations.

As shown in the examples, using the relationship definitions enables thebilling measures to be decoupled from the respective cost factors.Establishing the relationships that identify billing measure influenceon cost factors to be entered into the Platform as a Service billing tocost mechanism defines a set of relationships that are multitudinous andtransitive in nature. During a definition portion the client/tenantmeasures are identified as something that is understood and measurablein the form of cost elements that are measurable as a real value cost.

Additionally, each application (Software as a Service offering) may haverespective unique measures and relationships. Relationships are definedbased on initial estimation and observation; however the definitionsprovided are adjustable using results of the described analysis overtime. The relationships illustrated can be expanded and, for eachapplication, represented as a series of mathematically expressedrelationships. For example, the expression of relationships may includea number of webservers=pWS c₁U+c₂B+c₃P; a number of databases=pDBc₄(pWS)+c₅S₁+c₆S₂+c₇S₃+c₈S₄; a number of app servers=cASc_(x1)(PWS)+c_(x2)(iVM)+c_(x3)(iPR)+c_(x4)(iNW)+c_(x5)(iSM); where Urepresents a number of users; and as per application definitions, Brepresents business critical users/applications; P represents a numberof power users; S₁ represents a number of small sized tenants; S₂represents a number of medium sized tenants; S₃ represents a number oflarge sized tenants; S₄ represents a number of very large sized tenants;and c₁ through c_(x5) represents constants to be determined and reviewedusing trend analysis.

With reference to FIG. 7 is a chart representation of a subset ofclient/tenant measure to cost factors of the multi-tenant billing tocost relationships of FIG. 6 in accordance with one embodiment of thedisclosure is presented. Chart 700 is an example of analysis outputusing the process of multi-tenant billing to cost relationships of FIG.6.

Examining the relationship expressions provided in the example of FIG. 6and plotting the client/tenant measures with a subset of the cost factorobservations, as observed factors 702 (for example the number ofwebservers 708 and the number of database servers 710) yields the graphof chart 700.

A set of observed factors or estimates is first used to establish aninitial baseline or trend as represented by trend line 712. In thesimple example subset illustrated, the measured cost line 714 isdirectly related the observed number of servers required with a definedmeasure of usage (for example a new webserver is required at 80%utilization). This actual cost, therefore, periodically increases in setvalues, that is the cost of each added server as the usage of a serverreached a defined maximum utilization.

However, as more cost factors are added, this line becomes smoother andin actuality approaches trend line 712, with the more cost measuresyielding a more accurate trend line. Note, however, an original goal tosimplify client/tenant measures 706 is balanced with the webSERVERS anddbSERVERS cost factors 704 of the service provider cost measures, whichmay grow exceedingly complex.

Ultimately, the relationships are defined as variables and constants ina construct of (client and tenant measures)=(tenant

Platform as a Service relationships)+(tenant

Infrastructure as a Service relationships)+(Platform as aService+Infrastructure as a Service

Component Supply) which is expressed as:Σ_(i=1) x _(i) M _(i)=Σ_(m=1) x _(m) P _(m)+Σ_(n=1) x _(n) I_(n)+Σ_(o=1) x _(o) C _(o)where M represents tenant measures, P represents Platform as a Servicemeasures, I represents Infrastructure as a Service measures, Crepresents Component Supply measures, x represents constants to bedetermined for a best fit and i, m, n, and o represent a number ofmeasures/relationships for the particular input.

Analysis of the defined relationships performed over time by applyingstatistical methodologies such as, but not restricted to, least-squares(linear, non-linear), least-squares m^(th) degree polynomials, multipleregression least-squares enables tuning of the defined relationships, aswell as additional applications, billing measures or cost factors.

Recognizing that cost accounting may also include other considerationsand resources outside of the operations infrastructure (sales andmarketing, related product offerings, lost-leader strategies), thedisclosed mechanism provides a model for analysis based on increasinglyaccurate data for consideration within a larger business strategies.

Accounts receivable integration is typically simplified over thePlatform as a Service infrastructure because all applications andtenants feed into a single point with respective specific billingmeasures. By applying a common service, each application typicallyimplements a pre-defined integration process (monitored, queried, datatransaction or transfer) and accordingly simplifies a growing complexityof a product of tenants multiplied over a number of applications.

As a result, an embodiment of the disclosed mechanism simplifies billingdefined for the client as required by the application; the disclosedmechanism supports a number of billing models (for example, subscriptionbased, usage based) or a combination thereof. Decoupling cost factorsenables cost analysis to grow in technical complexity as required by aservice provider, supporting both capital expenditures and service fees.

Embodiments of the Platform as a Service billing measures to costfactors mechanism provides a capability of a single billing and analysismechanism to support multiple tenants and multiple applications, agrowing challenge within the cloud computing paradigm. Embodiments ofthe disclosure further typically enable an efficiency of scale gained bymulti-tenancy while minimizing added complexity of billing andaccounting. Similarly embodiments of the disclosed mechanism provides acapability for a single integration point for accounts receivable whilealso enabling frequent, ongoing cost analysis and associated tuning ofbilling rules in an ever growing matrix of tenants, applications andinfrastructure.

With reference to FIG. 8 is a high level flowchart of the multi-tenantbilling to cost process of FIG. 4 in accordance with one embodiment ofthe disclosure. Process 800 is a high level representation of thepreviously described multi-tenant billing to cost process.

Process 800 begins and identifies a set of inputs (step 802). The set ofinputs is representative of the client and tenant perspective in theform of client/tenant billing measures associated with one or moreapplications used or available for use by the various tenants andassociated clients. The client and tenant perspective accordinglyrepresents multi-tenant, multi-application inputs. The set of inputs isalso representative of the service provider perspective in the form ofvarious platforms as a service and infrastructure as a servicecomponents and associated elements.

Output of the identification sub-process is a set of client/tenantbilling measure definitions 804 and provider cost factor definitions806. In one example, the set of definitions may be provided using one ormore documents in the form of XML source files describing the individualclient/tenant billing measures including respective attributes andvalues and provider cost factors including respective attributes andvalues.

Process 800 identifies and defines relationships between client/tenantbilling measure definitions 804 and provider cost factor definitions 806(step 808). A correspondence between client/tenant billing measuredefinitions 804 and provider cost factor definitions 806 may beprovided, in one example, using a set of predefined rules identifyingconditional matching of particular billing measures with a respectiveone or more cost factors. For example, a rule may define a relationshipfor a web-based application transaction as related to a particulardatabase, a web server and a network resource. In turn the relatedresources may further detail relationships to underlying hardware andsoftware resources including operating system, processors and storagedevices. Thus the relationships defined range from simple one to one toa more complex one to many or many to one forms and are structured in ahierarchy of levels. Again using the example of a document object model,a data structure is populated using the definitions representative ofthe inputs and relationships identified and defined among the inputs.

Process 800 analyzes the combination of inputs using the definitionsrepresentative of the inputs and relationships identified and definedamong the inputs (step 810). Various forms of statistical analysis maybe used without limitation including least-squares (linear, ornon-linear), least-squares m^(th) degree polynomials, and multipleregression least-squares methods.

As a resulting of performing statistical analysis of the inputs usingthe relationships, process 800 generates one or more reports (step 812).The gyration of resorts includes providing or interfacing with one ormore accounts-receivable applications for creating client statements andbilling reports. Reports may also be created for service providers, forexample, indicating at least utilization of defined resources accordingto tenants. Process 800 sends client and service provider the generatedreports (step 814).

Further the output of the analysis may be used to iteratively adjust thedefinitions (including rules to identify inputs and relationships) usedin the process in a form of feedback loop from step 812 to step 802.Using this feedback mechanism enables process 800 to continually andincrementally improve the particulars of information used in theprocess.

With reference to FIG. 9 is a flowchart of the multi-tenant billing tocost process of FIG. 4 in accordance with one embodiment of thedisclosure. Process 900 is a representation of the previously describedmulti-tenant billing to cost process.

Process 900 begins (step 902) and receives a set of definitionsrepresentative of client and tenant billing measures (step 904). Theclient/tenant billing measures are associated with one or moreapplications used, or available for use, by the various tenants andassociated clients. Thus the client (tenant) billing measures arerepresentative of a multi-tenant, multi-application environment of theclients and tenants.

Process 900 also receives a set of definitions representative of costfactors representative of the service provider perspective in the formof various platform as a services and infrastructure as a servicecomponents and respective associated elements (step 906). A combinationof the set of definitions representative of client and tenant billingmeasures and the set of definitions representative of cost factorspresents a simple application-based view to the client as a tenantperspective while accurately measuring cost factors for the serviceprovider. In another example of data capture, the sets of definitionsmay exploit previously captured information from modeling tools orsystem management and network management tools.

Output of the identification sub-process of step 904 and step 906 is aset of client/tenant billing measure definitions and provider costfactor definitions. As previously described in one example, the sets ofdefinitions may be provided using one or more documents as a set of XMLsource files describing the individual client/tenant billing measuresincluding respective attributes and values and service provider costfactors including respective attributes and values. The document objectmodel is well suited to the hierarchical structure of each set ofdefinitions.

Process 900 identifies one or more relationships among client/tenantbilling measure definitions and provider cost factor definitions todefine a set of relationships (step 908). A correspondence between theclient/tenant billing measure definitions and provider cost factordefinitions as previously identified and defined may be provided, in oneexample, by using a set of predefined rules identifying conditionalmatching of particular billing measures with a respective one or morecost factors. For example, a rule may define a relationship for aweb-based application transaction as related to a particular database, aweb server and a network resource.

In turn the related resources may further detail relationships tounderlying hardware and software resources including operating system,processors and storage devices. Thus the relationships defined rangefrom simple one to one to a more complex one to many or many to oneforms and are structured in a hierarchy of levels. Again using theexample of a document object model, a data structure is populated usingthe definitions representative of the inputs and relationshipsidentified and defined among the inputs.

Process 900 receives a set of client/tenant billing measures from one ormore applications (step 910). Typically the applications are associatedwith software as a service applications but need not be necessarilyrestricted to such applications. In a similar manner process 900receives a set of cost factors from one or more infrastructure feeds(step 912). The infrastructure feeds provide information associated withthe particular defined technical, and measurable cost factorsrepresentative of components of the platform as a service andinfrastructure as a service of a current environment.

Process 900 analyzes the combination of inputs of the set ofclient/tenant billing measures and cost factors using the definitionsrepresentative of the inputs and relationships identified and definedamong the inputs (step 914). Various forms of statistical analysis maybe used in performing the analysis without limitation includingleast-squares (linear, or non-linear), least-squares m^(th) degreepolynomials, and multiple regression least-squares methods. Embodimentsof the disclosed process accordingly enable usage growth (linear) versusinfrastructure investment (stepped) analysis.

As a result of performing the analysis of the inputs using therelationships and one or more selected predetermined statisticalmethodologies, process 800 generates one or more reports (step 916). Thegeneration of reports includes providing or interfacing with one or moreaccounts-receivable applications for creating client statements andbilling reports. Reports may also be created for service providers, forexample, indicating at least utilization of defined resources accordingto respective tenants. Process 900 sends client and service provider oneor more respective generated reports (step 918).

Process 900 determines whether to update definitions using informationof the generated reports (step 920). Responsive to a determination toupdate definitions using information of the generated reports the outputof the analysis may be used to iteratively adjust the definitions(including rules to identify inputs and relationships) used in theprocess in a form of feedback loop from step 922 to step 904 and step906 respectively. Using this feedback mechanism enables process 900 to,continually and incrementally, improve the particular informationcomprising the sets of definitions used in the process. Responsive to adetermination to not update definitions using information of thegenerated reports, process 900 terminates (step 924).

Thus embodiments of the disclosed process provide a mechanism with acapability of simplified billing with decoupled cost analysis. In oneexample, using a platform as a service implementation enables the singlemechanism supporting multiple applications, which may vary in use ofbilling models, and grow over time. The multi-tenant implementation alsoprovides an efficiency of scale while providing a single integrationpoint for accounting. The output generated enables frequent, ongoingcost analysis and tuning of billing rules in a continual incrementalmanner.

Thus is presented in an illustrative embodiment a process forreconciling billing measures to cost factors, comprises receiving, byone or more processors, a set of billing measures from one or moreapplications and a set of cost factors from infrastructure feeds.Analyzing the set of billing measures and cost factors received, using aset of defined relationships to create analyzed information. The one ormore processors generate a set of reports using the analyzedinformation. Responsive to a determination to update the set ofdefinitions, the one or more processors update the sets of definitionsusing information from the generated reports.

The flowchart and block diagrams in the figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof code, which comprises one or more executable instructions forimplementing a specified logical function. It should also be noted that,in some alternative implementations, the functions noted in the blockmight occur out of the order noted in the figures. For example, twoblocks shown in succession may, in fact, be executed substantiallyconcurrently, or the blocks may sometimes be executed in the reverseorder, depending upon the functionality involved. It will also be notedthat each block of the block diagrams and/or flowchart illustration, andcombinations of blocks in the block diagrams and/or flowchartillustration, can be implemented by special purpose hardware-basedsystems that perform the specified functions or acts, or combinations ofspecial purpose hardware and computer instructions.

The corresponding structures, materials, acts, and equivalents of allmeans or step plus function elements in the claims below are intended toinclude any structure, material, or act for performing the function incombination with other claimed elements as specifically claimed. Thedescription of the present invention has been presented for purposes ofillustration and description, but is not intended to be exhaustive orlimited to the invention in the form disclosed. Many modifications andvariations will be apparent to those of ordinary skill in the artwithout departing from the scope and spirit of the invention. Theembodiment was chosen and described in order to best explain theprinciples of the invention and the practical application, and to enableothers of ordinary skill in the art to understand the invention forvarious embodiments with various modifications as are suited to theparticular use contemplated.

The invention can take the form of an entirely hardware embodiment, anentirely software embodiment or an embodiment containing both hardwareand software elements. In a preferred embodiment, the invention isimplemented in software, which includes but is not limited to firmware,resident software, microcode, and other software media that may berecognized by one skilled in the art.

It is important to note that while the present invention has beendescribed in the context of a fully functioning data processing system,those of ordinary skill in the art will appreciate that the processes ofthe present invention are capable of being distributed in the form of acomputer readable data storage device having computer executableinstructions stored thereon in a variety of forms. Examples of computerreadable data storage devices include recordable-type media, such as afloppy disk, a hard disk drive, a RAM, CD-ROMs, DVD-ROMs. The computerexecutable instructions may take the form of coded formats that aredecoded for actual use in a particular data processing system.

A data processing system suitable for storing and/or executing computerexecutable instructions comprising program code will include one or moreprocessors coupled directly or indirectly to memory elements through asystem bus. The memory elements can include local memory employed duringactual execution of the program code, bulk storage, and cache memorieswhich provide temporary storage of at least some program code in orderto reduce the number of times code must be retrieved from bulk storageduring execution.

Input/output or I/O devices (including but not limited to keyboards,displays, pointing devices, etc.) can be coupled to the system eitherdirectly or through intervening I/O controllers.

Network adapters may also be coupled to the system to enable the dataprocessing system to become coupled to other data processing systems orremote printers or storage devices through intervening private or publicnetworks. Modems, cable modems, and Ethernet cards are just a few of thecurrently available types of network adapters.

What is claimed is:
 1. A computer program product for reconcilingbilling measures to cost factors, the computer program productcomprising: one or more computer-readable data storage devices andcomputer executable program code stored on at least one of the one ormore computer-readable data storage devices, where the computerexecutable program code when executed on one or more processors causesthe one or more processors to provide an adjustable tenant billing tocost mechanism as a platform service from a platform-as-a-service (PaaS)layer within a distributed multi-tenant computing environment thatcomprises multiple distinct host computing platforms, comprising causingthe one or more processors to: receive, at the PaaS layer over at leastone application feed from at least one software-as-a-service (SaaS)application operating in a SaaS layer within the distributedmulti-tenant computing environment, a set of client-application billingmeasures of multi-tenant computing services; receive, at the PaaS layerover at least one infrastructure feed from at least one multi-tenantplatform host operating in an infrastructure-as-a-service (IaaS) layerwithin the distributed multi-tenant computing environment, a set ofservice-provider cost factors of a plurality of different types ofplatform and infrastructure components used to provide services withinthe multi-tenant computing environment; analyze the set ofclient-application billing measures and the set of service- providercost factors using a set of defined relationships within the PaaS layerthat identify influence of the set of client-application billingmeasures in the SaaS layer on the set of service-provider cost factorsin the IaaS layer; and adjust, in accordance with the analysis as animprovement of the platform service provided from the PaaS layer andusing a feedback mechanism within the multi-tenant computingenvironment, the set of defined relationships within the PaaS layer thatidentify the influence of the set of client-application billing measuresin the SaaS layer on the set of service-provider cost factors in theIaaS layer.
 2. The computer program product of claim 1, where, incausing the one or more processors to receive, at the PaaS layer overthe at least one application feed from the at least one SaaS applicationoperating in the SaaS layer within the distributed multi-tenantcomputing environment, the set of client-application billing measures ofthe multi-tenant computing services, the computer executable programcode causes the one or more processors to: receive a set of definitionsrepresentative of the set of client-application billing measuresassociated with one or more clients or tenants and associated with theat least one SaaS application.
 3. The computer program product of claim1, where, in causing the one or more processors to receive, at the PaaSlayer over the at least one infrastructure feed from the at least onemulti-tenant platform host operating in the IaaS layer within thedistributed multi-tenant computing environment, the set ofservice-provider cost factors of the plurality of different types ofplatform and infrastructure components used to provide services withinthe multi-tenant computing environment, the computer executable programcode causes the one or more processors to: receive a set of definitionsrepresentative of the set of service-provider cost factors, where the atleast one infrastructure feed is derived from PaaS components and IaaScomponents within the multi-tenant computing environment, and the IaaScomponents further comprise component supply elements comprisinghardware and software elements within the multi-tenant computingenvironment.
 4. The computer program product of claim 1, furthercomprising computer executable program code that when executed on theone or more processors causes the one or more processors to: identifythe set of defined relationships within the PaaS layer that identify theinfluence of the set of client-application billing measures in the SaaSlayer on the set of service-provider cost factors in the IaaS layer; andestablish the set of defined relationships within the PaaS layer of thedistributed multi-tenant computing environment.
 5. The computer programproduct of claim 1, where, in causing the one or more processors toanalyze the set of client-application billing measures and the set ofservice-provider cost factors using the set of defined relationshipswithin the PaaS layer that identify the influence of the set ofclient-application billing measures in the SaaS layer on the set ofservice-provider cost factors in the IaaS layer, the computer executableprogram code causes the one or more processors to: perform one or morestatistical analysis including least-squares (linear, or non-linear),least-squares m^(th) degree polynomials, and multiple regressionleast-squares methods where cost analysis is decoupled from billing. 6.The computer program product of claim 1, where the computer executableprogram code when executed on the one or more processors further causesthe one or more processors to generate, as part of the platform service,a set of reports using the analysis, comprising the computer executableprogram code causing the one or more processors to: at least one ofprovide and interface with one or more accounts-receivable applicationswithin the multi-tenant computing environment to create clientstatements and billing reports in the set of reports; create reports forservice providers within the multi-tenant computing environment,indicating in the set of reports at least utilization of definedresources according to respective tenants; and send to a respectiveclient and a respective service provider one or more respectivegenerated reports from the set of reports.
 7. The computer programproduct of claim 1, where, in causing the one or more processors toadjust, in accordance with the analysis as the improvement of theplatform service provided from the PaaS layer and using the feedbackmechanism within the multi-tenant computing environment, the set ofdefined relationships within the PaaS layer that identify the influenceof the set of client-application billing measures in the SaaS layer onthe set of service-provider cost factors in the IaaS layer, the computerexecutable program code causes the one or more processors to:iteratively adjust, via the feedback mechanism within the multi-tenantcomputing environment, at least one set of definitions selected from agroup consisting of a set of client- application billing measuredefinitions representative of the set of client-application billingmeasures, a set of service-provider cost factor definitionsrepresentative of the set of service- provider cost factors, and a setof relationship definitions representative of the set of definedrelationships that identify the influence of the set ofclient-application billing measures in the SaaS layer on the set ofservice-provider cost factors in the IaaS layer; where the set ofclient-application billing measure definitions and the set of service-provider cost factor definitions identify inputs and the definedrelationships between the set of client-application billing measures inthe SaaS layer and the set of service-provider cost factors in the IaaSlayer; and where the iterative adjustment occurs continually andincrementally in a feedback loop to each of the PaaS layer, the SaaSlayer, and the IaaS layer via the feedback mechanism within themulti-tenant computing environment in accordance with particularinformation comprising the set of client-application billing measuredefinitions for multiple SaaS applications, one or more respective SaaSbilling models, and one or more respective tenants.
 8. An apparatus forreconciling billing measures to cost factors, the apparatus comprising:a communications fabric; one or more computer-readable data storagedevices connected to the communications fabric; a memory connected tothe communications fabric, where the memory contains computer executableprogram code; a communications unit connected to the communicationsfabric; an input/output unit connected to the communications fabric; andone or more processors connected to the communications fabric programmedto provide an adjustable tenant billing to cost mechanism as a platformservice from a platform-as-a-service (PaaS) layer within a distributedmulti-tenant computing environment that comprises multiple distinct hostcomputing platforms, comprising the one or more processors beingprogrammed to: receive, at the PaaS layer over at least one applicationfeed from at least one software-as-a-service (SaaS) applicationoperating in a SaaS layer within the distributed multi-tenant computingenvironment, a set of client-application billing measures ofmulti-tenant computing services; receive, at the PaaS layer over atleast one infrastructure feed from at least one multi-tenant platformhost operating in an infrastructure-as-a-service (IaaS) layer within thedistributed multi-tenant computing environment, a set ofservice-provider cost factors of a plurality of different types ofplatform and infrastructure components used to provide services withinthe multi-tenant computing environment; analyze the set ofclient-application billing measures and the set of service-provider costfactors using a set of defined relationships within the PaaS layer thatidentify influence of the set of client-application billing measures inthe SaaS layer on the set of service-provider cost factors in the IaaSlayer; and adjust, in accordance with the analysis as an improvement ofthe platform service provided from the PaaS layer and using a feedbackmechanism within the multi-tenant computing environment, the set ofdefined relationships within the PaaS layer that identify the influenceof the set of client-application billing measures in the SaaS layer onthe set of service-provider cost factors in the IaaS layer.
 9. Theapparatus of claim 8, where, in being programmed to receive, at the PaaSlayer over the at least one application feed from the at least one SaaSapplication operating in the SaaS layer within the distributedmulti-tenant computing environment, the set of client-applicationbilling measures of the multi-tenant computing services, the one or moreprocessors are programmed to: receive a set of definitionsrepresentative of the set of client-application billing measuresassociated with one or more clients or tenants and associated with theat least one SaaS application.
 10. The apparatus of claim 8, where, inbeing programmed to receive, at the PaaS layer over the at least oneinfrastructure feed from the at least one multi-tenant platform hostoperating in the IaaS layer within the distributed multi-tenantcomputing environment, the set of service-provider cost factors of theplurality of different types of platform and infrastructure componentsused to provide services within the multi-tenant computing environment,the one or more processors are programmed to: receive a set ofdefinitions representative of the set of service-provider cost factors,where the at least one infrastructure feed is derived from PaaScomponents and IaaS components within the multi-tenant computingenvironment, and the IaaS components further comprise component supplyelements comprising hardware and software elements within themulti-tenant computing environment.
 11. The apparatus of claim 8, wherethe one or more processors are further programmed to: identify the setof defined relationships within the PaaS layer that identify theinfluence of the set of client-application billing measures in the SaaSlayer on the set of service-provider cost factors in the IaaS layer; andestablish the set of defined relationships within the PaaS layer of thedistributed multi- tenant computing environment.
 12. The apparatus ofclaim 8, where, in being programmed to analyze the set ofclient-application billing measures and the set of service-provider costfactors using the set of defined relationships within the PaaS layerthat identify the influence of the set of client-application billingmeasures in the SaaS layer on the set of service-provider cost factorsin the IaaS layer, the one or more processors are programmed to: performone or more statistical analysis including least-squares (linear, ornon-linear), least-squares m^(th) degree polynomials, and multipleregression least-squares methods where cost analysis is decoupled frombilling.
 13. The apparatus of claim 8, where the one or more processorsare further programmed to generate, as part of the platform service, aset of reports using the analysis, comprising the one or more processorsbeing programmed to: at least one of provide and interface with one ormore accounts-receivable applications within the multi-tenant computingenvironment to create client statements and billing reports in the setof reports; create reports for service providers within the multi-tenantcomputing environment, indicating in the set of reports at leastutilization of defined resources according to respective tenants; andsend to a respective client and a respective service provider one ormore respective generated reports from the set of reports.
 14. Theapparatus of claim 8, where, in being programmed to adjust, inaccordance with the analysis as the improvement of the platform serviceprovided from the PaaS layer and using the feedback mechanism within themulti-tenant computing environment, the set of defined relationshipswithin the PaaS layer that identify the influence of the set ofclient-application billing measures in the SaaS layer on the set ofservice-provider cost factors in the IaaS layer, the one or moreprocessors are programmed to: iteratively adjust, via the feedbackmechanism within the multi-tenant computing environment, at least oneset of definitions selected from a group consisting of a set ofclient-application billing measure definitions representative of the setof client-application billing measures, a set of service-provider costfactor definitions representative of the set of service-provider costfactors, and a set of relationship definitions representative of the setof defined relationships that identify the influence of the set ofclient-application billing measures in the SaaS layer on the set ofservice-provider cost factors in the IaaS layer; where the set ofclient-application billing measure definitions and the set ofservice-provider cost factor definitions identify inputs and the definedrelationships between the set of client-application billing measures inthe SaaS layer and the set of service-provider cost factors in the IaaSlayer; and where the iterative adjustment occurs continually andincrementally in a feedback loop to each of the PaaS layer, the SaaSlayer, and the IaaS layer via the feedback mechanism within themulti-tenant computing environment in accordance with particularinformation comprising the set of client-application billing measuredefinitions for multiple SaaS applications, one or more respective SaaSbilling models, and one or more respective tenants.